. Perform hierarchical clustering of the yeast data in Section C.4. Use the Euclidean distance metric with standardized data. How does cluster membership obtained with hierarchical clustering compare...

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Perform hierarchical clustering of the yeast data in Section C.4.

Use the Euclidean distance metric with standardized data. How does cluster

membership obtained with hierarchical clustering compare with the result

from K-means ?

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Repeat the calculation in Exercise 3, except use the correlation

coefficients to calculate distances. [Hint: Use the R function as.dist().] In

previous calculations using these data, we standardized expression levels for

each gene (row) prior to clustering. Is this standardization needed for hierarchical

clustering when correlation coefficients are used for distances? Why or

why not?